Patent classifications
B60K2360/161
REAL-TIME AUTONOMOUS SEAT ADAPTATION AND IMMERSIVE CONTENT DELIVERY FOR VEHICLES
Various systems and methods for content adaptation based on seat position or occupant position in a vehicle are described herein. An example implementation for content adaptation based on seat position in a vehicle includes: obtaining sensor data, the sensor data including a seat position of a seat in the vehicle; identifying audiovisual content for output to a human occupant in the vehicle; identifying an occupant position of the human occupant, based on the seat position, for a user experience of the output of the audiovisual content; and cause one or more adjustments to the output of the audiovisual content in the vehicle, via an output device, based on the identified position of the human occupant.
System and method for transitioning between an autonomous and manual driving mode based on detection of a drivers capacity to control a vehicle
A system and method for transitioning between an autonomous and manual driving mode based on detection of a driver's capacity to control a vehicle are disclosed. A particular embodiment includes: receiving sensor data related to a vehicle driver's capacity to take manual control of an autonomous vehicle; determining, based on the sensor data, if the driver has the capacity to take manual control of the autonomous vehicle, the determining including prompting the driver to perform an action or provide an input; and outputting a vehicle control transition signal to a vehicle subsystem to cause the vehicle subsystem to take action based on the driver's capacity to take manual control of the autonomous vehicle.
METHOD AND SYSTEM FOR AUTOMATICALLY TAKING AN ACTION UPON DETECTING A FAULT IN A VEHICLE
A method and system for automatically taking an action upon detecting a fault in a vehicle. An artificial intelligence (AI) system disposed in or in communication with the vehicle assists the operator of the vehicle based on a knowledge of what steps are needed when a given fault is detected in the vehicle. Some such steps may be taken before the AI system interacts with the operator of the vehicle, thereby minimizing operator effort. The AI system identifies the fault; diagnoses a source, nature, and cause of the fault; retrieves and/or generates steps necessary to fix the problem causing the fault; automatically takes any appropriate initial steps to fix the problem causing the fault; alerts the operator of the vehicle to the fault; and communicates to the operator of the vehicle any appropriate remaining steps that the operator of vehicle should take to fix the problem causing the fault.
Vehicle travel control method and travel control device
A travel control method for a vehicle for executing autonomous travel control includes, prior to executing the autonomous travel control, presenting a driver with travel control information as to whether or not to accept execution of the autonomous travel control and detecting, in response to a presentation of the travel control information, an acceptance input made by the driver indicating that the driver accepts the execution of the autonomous travel control. The travel control method also includes: setting an input form of a present acceptance input by the driver to an input form different from an input form of a previous acceptance input.
Vehicle, advice providing apparatus and method
An advice providing apparatus for a vehicle including: a first interface configured to communicate with one or more human-machine interface APPs of one or more human-machine interfaces (HMIs) of the vehicle; a second interface configured to receive data from in-vehicle devices including a database, a sensing unit and a communication unit; and a processing module configured to: calculate one or more predictions for a potential query from a user of the vehicle based on the received data; select a prediction from the calculated predictions that is associated with a nonrepresentational input received via at least one HMI of the one or more HMIs from the user; generate an operation advice based on the selected prediction; and output the generated operation advice to an HMI APP of the one or more HMI APPs.
Driving assistance method and driving assistance device
A driving assistance device includes a malfunction detection unit configured to detect a plurality of malfunctions in devices mounted on a vehicle, a candidate selection unit configured to select candidates for a plurality of actions urged on a driver in accordance with the plural malfunctions detected by the malfunction detection unit, a priority determination unit configured to choose a candidate having a higher priority as an action urged on the driver from the candidates for the plural actions selected by the candidate selection unit, and an information unit configured to inform the driver of the action to be urged on the driver chosen by the priority determination unit.
Guidance device, guidance control device, guidance method, and program
A guidance device according to the present invention is installed in a movable body, the guidance device includes: an output device including a display device; an input device that receives an operation performed by an occupant of the movable body for starting each of a plurality of driving assistance functions installed in the movable body; and a guidance control device that determines whether the movable body is in a stopping period or in a traveling period, and allows the display device to display a video for explaining any one of the plurality of driving assistance functions when the movable body is in the stopping period.
Contextual autonomous vehicle support through written interaction
An autonomous vehicle including a sensor system that outputs a sensor signal indicative of a condition of the autonomous vehicle. The vehicle also includes a user interface device with a display. A computing system determines, based upon a profile of the passenger, that support is to be provided textually to the passenger when the support is provided to the passenger. The computing system further detects occurrence of an event that has been identified as potentially causing discomfort to the passenger. The computing system yet further sets a predefined support message defined in an account corresponding to the event maintained in a database prior to occurrence of the event as a support message to be presented to the passenger. The computing system additionally causes the display to present the support message textually, wherein the textual support message solicits feedback from the passenger of the autonomous vehicle.
Lane change assistant
A computing device in a vehicle can determine a time bound for a lane change maneuver based on determining a reaction time, an occupant acceptance time, a vehicle maneuver time and a maneuver cancellation time and request authorization to perform the lane change maneuver. The computing device can determine the time bound has expired, and cancel the authorization request based on the expired time bound.
Display device and vehicle having the same
The present invention relates to a display device provided in a vehicle, the display device including a first display configured to output first light forming first time information, a second display configured to output second light forming second visual information, and a light synthesizing unit disposed between the first and second displays and configured to transmit one of the first light and the second light and reflect another one so that the first light and the second light are directed to the same path, and wherein the light synthesizing unit is formed tiltable such that a reference angle formed between the light synthesizing unit and the first display varies.